
Kernel Mean Embedding of Distributions
A Review and Beyond
now publishers Inc
1st Edition
Published on 28. June 2017
Book
Paperback/Softback
154 pages
978-1-68083-288-4 (ISBN)
Description
This monograph provides a comprehensive review of kernel mean embeddings of distributions and, in the course of doing so, discusses some challenging issues that could potentially lead to new research directions. The targeted audience includes graduate students and researchers in machine learning and statistics who are interested in the theory and applications of kernel mean embeddings.
More details
Series
Language
English
Place of publication
Hanover
United States
Target group
College/higher education
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-68083-288-4 (9781680832884)
DOI
10.1561/2200000060
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Schweitzer Classification
Content
1: Introduction 2: Background 3: Hilbert Space Embedding of Marginal Distributions 4: Hilbert Space Embedding of Conditional Distributions 5: Relationships between KME and Other Methods 6: Future Directions 7: Conclusions. References.